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Wheelchair Motion Control Guide Using Eye Movement Based on EEG Signals

D. Uma Mageswari, G. Selvavinayagam

Year
2013
Citations
4

Abstract

The design and implementation of an Autonomous Movement Robot based on a Wheelchair based on EOG signal is to help a disable or handicapped person. These EOG electrodes are placed at right and left o f eye and other pair of electrodes are at top and right of th e eye. These electrodes used to response after gazi ng of one target point for a particular time period. After gazing of point, the wheelchair used to move to a target pos ition. So, it produce delay during eye gaze. To overcome this del ay, EEG amplifier are used. These EEG signals are p laced to capture brain waves. These brain waves are controll ed by microcontroller and it produce analog waves. To convert analog waves to digital output Analog to digital co nverter is used. Object Sensor is used to avoid obs tacles in its path respectively. The main contribution of the wor k is the combination of several technologies and te chniques that came from different areas such as mechanical, electronic engineering. Driver circuit with relay a re used to move wheelchair automatically. ZigBee is used for l ong transmission of wheelchair. Accelerometer and interfacing circuit are done by using head movement . DLOA algorithm used to avoid obstacles while reaching destination point. The target coordinates of the de stination place using EEG, to reduce delay for auto navigation process.

Keywords

WheelchairComputer scienceMicrocontrollerInterfacingComputer visionEye movementInterface (matter)Computer hardwareAmplifierArtificial intelligence

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